The Study of Path Planning of Welding Manipulator Based on Improved QPSO

Yan Yueqiang, Tang Zhiwei
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引用次数: 2

Abstract

The welding path planning of manipulator is one of the key issues to improve efficiency in the industry. In allusion to the defects of particle swarm algorithm, enlightened by quantum mechanics, the quantum particle swarm algorithm is presented in this paper, expanding the search range of particles and retaining the good operability of particle swarm algorithm. Based on features of welding manipulator path planning, the welding spots passed by particles are weight-coded and the combination optimization problem is made continuous. Finally, an optimal welding path for the manipulator is worked out by using this algorithm.
基于改进QPSO的焊接机械手路径规划研究
机械手的焊接路径规划是提高工业效率的关键问题之一。针对粒子群算法的缺陷,在量子力学的启发下,本文提出了量子粒子群算法,扩大了粒子的搜索范围,保持了粒子群算法良好的可操作性。根据焊接机械手路径规划的特点,对粒子经过的焊点进行加权编码,使组合优化问题连续化。最后,利用该算法计算出机械手的最优焊接路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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